Magnetic Dipole Impact on the Hybrid Nanofluid Flow over an Extending Surface

The main features of present numerical model is to explore and compare the behavior of simple and hybrid nanoparticles, which were allowed to move on a spreading sheet. The effect of magnetic dipole on hybrid nanofluid flow is considered. A magnetic dipole combined with hybrid nanofluid plays a vital role in controlling the momentum and thermal boundary layers. In view of the impacts of a magnetic dipole on the simple and hybrid nanofluids, steady, laminar and boundary layer flow of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Cu/{H}_{2}O$$\end{document}Cu/H2O and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Cu-A{l}_{2}{O}_{3}/{H}_{2}O$$\end{document}Cu−Al2O3/H2O are characterized in this analysis. The governing equations of flow problem are diminished to ordinary differential equation (ODE’s) by using similarity approach. For the numerical solution of the nonlinear ODE’s, Runge Kutta order 4th technique has been executed. The impact of various physical constraints, such as volume friction, viscous dissipation, Prandtl number and so on have been sketched and briefly discussed for velocity and temperature profile. In this work, some vital characteristics such as skin friction, Curie temperature and local Nusselt number are chosen for physical and numerical analysis. It has been noted that the hybrid nanofluid is more efficient in thermal conduction due to its strong thermal characteristics as compared to simple nanofluid. From results, it is also observed that the turbulence of fluid flow can be controlled through magnetic dipole.

base fluids used in different equipment. The applications of nanofluid in different devices have shown great potential for heat transfer. The influence of particle migration on thermo physical characteristics of nanoparticles studied by Mehdi 10 . Hashemi et al. 11  2 nanofluid inside a semi-circular cavity is analyzed by Dogonchi et al. 13 . Zahra et al. 14 explored the role of nanoparticles and wavy circular heater on heat transfer inside circular heater. Heris et al. 15 experimentally investigated the convective heat transfer flow of oxide. Heris et al. 16 experimentally examine the convective heat transfer of − Cu water, − CuO water and − Al O 2 3 water nanofluids and reported the study under laminar condition, the influence of peclet number, particle volume fraction and nanoparticle source on heat transfer have been examined.
In the new era of emerging technology, a modified class of nanofluids has been developed and named them, the hybrid nanofluids. The hybrid nanofluids are composed of more than one metallic nanoparticle unlike nanofluids which composed of single metal nanoparticles. As, for example Aluminum Oxide nanoparticles are dispersed in water to get a simple nanofluid, but when Copper metallic nanoparticles are added to the same suspension of Alumina/water another kind of nanofluid is obtained called hybrid nanofluid. In the modern age, hybrid nanofluids due their high efficiency in the heat transfer rate and hence high thermal conductivity have attracted a lot of researchers and scientists to this new field of nanotechnology. The importance of hybrid nanofluid in the heat enhancement rate has been studied in the relevant literature by Nadeem et al. 17 explored the characteristic of hybrid nanofluid in three-dimensional stagnation point flow and obtained the rate, thermal transforming in hybrid nanofluids are comparatively more than simple nanofluid. Suresh et al. 18 25 examined the enhanced heat transfer rate for grapheme nanoplatelets-silver hybrid nanofluids. Yarmand et al. 26 conducted the study of the synthesis, stability and thermal-physical properties of graphene nanoplatelets/platinum hybrid nanofluids. Yarmand et al. 27 analyzed the enhancement of heat transfer rate using the graphene nano platelets/platinum hybrid nanofluids. Abbasi et al. 28 used hybrids of carbon nanotubes/gamma alumina to analyze the stability and thermal conductivity of the nanofluid using functionalization method. Sajid et al. 29 conducted numerically and experimentally intensive studies on thermophysical properties of hybrid as well as single form nanotubes. They concluded and suggested that the thermophysical properties of nanofluid are greatly affected by nanoparticles size, types, concentration and temperature and PH variation.
The proper selection of nanoparticles for base fluid plays a vital role in achieving hybrid nanofluid stability. Van Trinh et al. 30 experimentally studied hybrid nanofluid by adding Gr (Graphene) carbon nanotubes in ethylene glycol based fluid using ultrasonic techniques. They measured thermal conductivity of Graphene CNTs nanofluid by using GHP (guarded hotplate) technique. The transformer is mostly used in distribution and transmission system. For its cooling and insulation vegetable oil and mineral oil were used for last few decades. But almost 75% of the total failed, due to improper electric insulation and high voltage power of transformer. By using Taguachi methodology, Sumathi 31  The study of hybrid nanofluid is quite important in several fields of science and engineering. The purpose of the present work is to examine the influence of magnetic dipole on the hybrid nanofluid flow over extending surface, which is based with no slip condition and non porous medium. The concern work is the extension of 34  2 hybrid nanofluid flow and improve its thermophysical properties under magnetic dipole is the main objective of the paper. The present work has many applications; such as the hybrid nanofluids is mostly used in ultra-capacitors, atomic reactors, textile engineering, nonporous cleaner, gas storing, different kinds of coating and in the bio sensors, which make this work more valuable. The system of ODEs diminishes from the system of PDEs through similarity approach. The numerical solution of the problem is drawn via Runge Kutta order four method.

Mathematical formulation of the problem
In this study, we consider two types of nanofluids, one is simple nanofluid comprising one nanoparticle of metal The above three main equations are taken for fluid flow in the presence of viscous dissipation. Since the flow is in two dimensions, therefore velocity has two components, u ( ) is along x-axes and v ( ) is along y-axes. In the above second equation ρ h n f , µ hnf , µ f and M represent the density of the nanofluid, dynamic viscosity of the nanofluid, permeable magnetic field and magnetization of the magnetic field respectively. In the third equation ρ ( ) C p hnf depicts specific heat of the nanofluid and K hnf is used for thermal conductivity of the hybrid nanofluid, whereas T and H are used for temperature and magnetic field respectively. Let the appropriate boundary conditions used by refs. 34,35 are taken for the boundary value problem. Temperature at different points is taken with appropriate boundary conditions at = y 0 and → ∞ y , as defined earlier, the Curie temperature T ( ) c and the ambient temperature ∞ T ( ).
Magnetic dipole. When a magnetic field is applied, the flow of nanofluid will be affected over spreading sheet and cause a magnetic field region represented by δ 1 and mathematically expressed as ref. 35 ; www.nature.com/scientificreports www.nature.com/scientificreports/ In the above equation, strong point of the magnetic field at the base is indicated by γ 1 , while c specifies the displacement of magnetic dipole. Components of magnetic field H ( ) are taken mathematically as; Differentiating Eq. (5) with respect to x and y, we get the above two expressions for magnetic field components. Magnetic force has direct relation with a gradient of H therefore norm of H can mathematically be expressed as; By inserting the values in the above equation, we obtained the following equations.
Since variation in temperature can cause change in magnetization therefore impacts on magnetization can mathematically be expressed as Here M is used for magnetization while pyro-magnetic coefficient is indicated by K 1 in the above expression.
Transformation. In order to transform the main equation, we use the dimensionless variables as introduced by ref. 36 . Here, θ η ξ ( , ) 1 and θ η ξ ( , ) 2 indicate the non-dimensional temperature terms and µ f specifies fluid viscosity. The non-dimensional and consistent coordinates can be expressed as; Continuity equations are satisfied directly by the function described and the velocity components achieved as;   www.nature.com/scientificreports www.nature.com/scientificreports/ φ 1 and φ 2 are used for the solid volume fraction of Al O 2 3 and Cu respectively in the above modeled equations. ρ s1 and ρ s2 specify the density for both nanofluids while ρ f is used for density of base fluid. Heat capacitance is indicated by ρ ( ) and ρ ( ) C p s2 respectively for both nanofluids, where as ρ ( ) C p f is used for heat capacitance of base fluid. Simple nanofluid as well as the hybrid nanofluid, satisfies the dynamic viscosities which discussed by Rashidi et al. 37 and Hayat et al. 38 and is deliberated as; Thermal conductivity for both the nanoparticles dispersed in water studied at Lee et al. 39 , and Wang et al. 40 Plugging the above mentioned thermo-physical properties and transformation; both the momentum and thermal boundary layers became as below; p hnf For hydrodynamic interaction the symbol β is used by refs. 35,36 and is defined by Prandtl number Pr. Expressed as Pr (25) Curie temperature is given by The expression for viscous dissipation is as   www.nature.com/scientificreports www.nature.com/scientificreports/ Thus, C f (coefficient of skin friction) and Nu(Nusselt number) with non-dimensional equations as (34,35) . .
x x hnf f 1 2 1 2 2 indicates the Reynold's number, depends on the extending rate of change of dis-    www.nature.com/scientificreports www.nature.com/scientificreports/ Solution methodology. In order to use the RK-4 scheme, different values are chosen for transformation, to convert the equations; into first order differential equations. We take the following supposition.

Results and discussions
The governing equations of the problem have been solved numerically using the RK-4 method after using appropriate transformations. Flow analysis and heat transfer effect of simple nanofluid and hybrid nanofluid have been compared graphically. Different parameters like volume fraction, Prandtl number, viscous dissipation, ferrohydrodynamic interaction, magnetic field strength and so on have been analyzed graphically for velocity and temperature distributions of simple and hybrid nanofluids. The effect of ferrohydrodynamic parameter (β) is indicated in Fig. 2, which shows the increment in temperature with the increasing value of ferrohydrodynamic interaction in both the simple and hybrid nanofluid. In fact, when the interaction or collision of molecules of the  www.nature.com/scientificreports www.nature.com/scientificreports/ ferrohydrodynamic metals in the fluids are greater, it will enhance the temperature. The similar effect has been shown at other temperature with slight difference in behavior for both nanofluids as evident from Fig. 3, whereas Fig. 4 specifies the negative effect on velocity profile. This is due to the fact that nanoparticle concentration enhances density of the fluid which consequently reduces the axial velocity of the fluid. Figures 5 and 6 show the impacts of magnetic field strength γ ( ), which enhances the temperature effect of different terms. The heat transfer effect of hybrid nanofluid is comparatively higher than the simple nanofluid, because of the dispersion nanoparticles of Al O 2 3 in the nanofluid is more influential to magnetic field than the simple nanofluid, as concentration of nanoparticles will increase intermolecular collision and hence increase the kinetic energy which consequently enhances the temperature. Therefore an addition of Al O 2 3 to the Cu/ water can cause an increase in heat transfer rate. Wherein, for velocity profile the impacts of the same parameter γ ( ) have a negative effect as indicated in Fig. 7. The Figs. 8 and 9 demonstrate the effect of viscous dissipation λ ( ) on temperature distribution. The temperature increases with the increase of viscous dissipation as evident from the figures. As we know that viscosity of a       Figs. 13 and 14, which shows negative effect to the increasing values of Prandtl Number. This is because of the fact that Prandtl Number is a dimensionless number and is the ratio of the hydrodynamic boundary layer to thermal boundary layer or in other words, Pr is the ratio of the molecular diffusivity over thermal diffusivity, therefore the increase of this number will definitely decrease the temperature of the fluids. The comparison of the present study has been compared with the existing literature and shown in Table 1. The variation in the skin friction under the influence of the physical parameters shown in the

Conclusion
In this paper, the study has been conducted to examine and compare the heat transfer effect in simple nanofluid and the hybrid nanofluid flow. All the physical parameters and their effects over temperature and velocity distribution have been shown graphically. These may be summarized as under.
• It has been shown graphically that ferrohydrodynamic parameter β ( ) and magnetic field strength γ ( ) have a positive effect over the temperature field, while for velocity distribution it is negative for both nanofluids. It is also noted that hybrid nanofluid shows more efficiency in heat transfer rate than the simple nanofluid in almost for all parameters.
• The impact of viscous dissipation parameter λ ( ) over the temperature field also shows an increasing trend for both the fluids on different terms of temperature.
• The concentration of volume fraction φ ( ) enhances the temperature field where as the velocity field is reduced due to viscosity because with the addition of nanoparticles the fluid gets dense and hence slow down the movement of the fluid.
• The increase in Prandtl Number has negative impacts over the temperature distribution. • From the above analysis and graphical representation, we can conclude that the heat transfer effect in the hybrid nanofluid − Cu Al O / 2 3 water is more efficient than the simple nanofluid Cu/ water. • Keeping in view the significance of the modified nanofluid (hybrid nanofluid), the scientists and researchers may use these for efficient performance in the emerging technologies and for the cooling effects of various electrical and electronic applications.  Table 3. Nusselt number for the Hybrid nanofluids. When. ε γ = .